Smoothed average variance estimation for dimension reduction with functional data

Simple item page
AuteurAFFOSSOGBE, METOLIDJI MOQUILLAS RAYMOND
AuteurNKIET, GUY MARTIAL
AuteurOGOUYANDJOU, KOLADE SIMPLICE EPHREM CARLOS
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2023
ResumeWe propose an estimation method, named functional average vari- ance estimation (FAVE), for estimating the EDR space in functional semiparametric regression model, based on kernel estimates of dens- ity and regression. Consistency results are then established for the estimator of the interest operator, and for the directions of EDR space. A simulation study that shows that the proposed approach performs better than traditional ones is presented
DOI10.1080/03610926.2021.1931330
Autre identifiantBECDB-13674
URIhttps://dspace.uac.bj/handle/123456789/11697
Languefr
Fait partie deCOMMUNICATIONS IN STATISTICS—THEORY AND METHODS
SujetFAVE
Sujetkernel estimator
Sujetfunctional data
Sujetasymptotic study
TitreSmoothed average variance estimation for dimension reduction with functional data
TypeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
a32cc993815cd92e7b5789a0f6a15a0f.pdf
Size:
2.32 MB
Format:
Adobe Portable Document Format
Download

Collections

Articles